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Proceedings Paper

Improving retrieval effectiveness by automatically creating multiscaled links between text and pictures
Author(s): Nicolas Malandain; Mauro Gaio; Jacques Madelaine
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Paper Abstract

This paper describes a method to improve retrieval of composite documents (text and graphic) by creating a set of internal links. We propose the concept of granularity to add structure for this given set of typed semantic links. That is obtained by a multi-scaling processing. We propose three major classes based on the capacity of a link to include or to be included by others one. Global links are obtained with a classical IR methods. A computational model allows an automatic extraction of the textual information units contained in the text source of the global links. In our geographic corpus the units denotes georeferenced entities. A semantic representation of these entities is proposed that allows further cooperation with processing of the graphical part of the document.

Paper Details

Date Published: 21 December 2000
PDF: 10 pages
Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); doi: 10.1117/12.410826
Show Author Affiliations
Nicolas Malandain, Univ. de Caen (France)
Mauro Gaio, Univ. de Caen (France)
Jacques Madelaine, Univ. de Caen (France)


Published in SPIE Proceedings Vol. 4307:
Document Recognition and Retrieval VIII
Paul B. Kantor; Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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